Triple

T1244559
Position Surface form Disambiguated ID Type / Status
Subject Pomeranian Voivodeship E26733 entity
Predicate containsRiver P165 FINISHED
Object Słupia
Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
E153274 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Słupia | Statement: [Pomeranian Voivodeship, containsRiver, Słupia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Słupia
Context triple: [Pomeranian Voivodeship, containsRiver, Słupia]
  • A. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • B. Motława
    Motława is a river in northern Poland that flows through the historic city of Gdańsk and into the Vistula Lagoon.
  • C. Trzebinia
    Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
  • D. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • E. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Słupia
Triple: [Pomeranian Voivodeship, containsRiver, Słupia]
Generated description
Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Słupia
Target entity description: Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • A. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • B. Motława
    Motława is a river in northern Poland that flows through the historic city of Gdańsk and into the Vistula Lagoon.
  • C. Trzebinia
    Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
  • D. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • E. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc61b45748190a12e1aec029b76df completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc697fdc8819081b8e06981417064 completed March 8, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69acc722d8608190acbef82f180b75d1 completed March 8, 2026, 12:47 a.m.
Created at: March 1, 2026, 7:47 p.m.